AlphaStocks

RF vs TMP

REGIONS FINANCIAL CORP vs TOMPKINS FINANCIAL CORP — Side-by-Side Stock Comparison

RF

REGIONS FINANCIAL CORP

6.8

Consider Buy

$28.60

TMP

TOMPKINS FINANCIAL CORP

8.1

Strong Buy

$89.63

RF vs TMP: Which is the Better Investment?

REGIONS FINANCIAL CORP (RF) scores 6.8/10 while TOMPKINS FINANCIAL CORP (TMP) scores 8.1/10 on AlphaStocks' composite model. TOMPKINS FINANCIAL CORP has the higher composite rating of Strong Buy. On a P/E basis, TOMPKINS FINANCIAL CORP trades at 8.0x, making it the more attractively priced of the two. TOMPKINS FINANCIAL CORP offers more upside to its estimated fair value.

This comparison is algorithmically generated and is not financial advice.

MetricRFTMP
Scores & Fundamentals
Composite Score6.8/108.1/10
RatingConsider BuyStrong Buy
Price$28.60$89.63
P/E Ratio11.98.0
ROE11.3%18.7%
Market Cap$25B$1B
Fair Value$29.09$100.46
Dividend Yield3.6%3.0%
Sector Rank#18 of 95#1 of 95
Model Verdicts
PiotroskiStrongAttractive
BuffettStrongStrong
GrahamStrongStrong
LynchLimited DataLimited Data
GreenblattLimited DataLimited Data
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RF vs TMP: Which Stock Scores Higher?

REGIONS FINANCIAL CORP (RF) and TOMPKINS FINANCIAL CORP (TMP) are among the most compared stocks in the Financials sector. TMP currently leads with a composite score of 8.1/10 (Strong Buy) compared to RF's 6.8/10 (Consider Buy).

The AlphaStocks composite score evaluates each stock across four dimensions: Quality (business strength measured by Piotroski F-Score and Buffett quality criteria), Value (discount to intrinsic worth using Graham, Lynch, and Greenblatt models), Momentum (6-month price trend), and Timing (a confirmation signal that requires both value and momentum to align). A higher composite score indicates stronger overall fundamentals combined with favorable market conditions.

This comparison uses the same scoring framework for both companies, ensuring an apples-to-apples evaluation. Scores are recalculated daily after market close using data from SEC filings and market prices. Read the full methodology to understand how each model contributes to the composite score.

Scores are algorithm-generated research tools, not investment recommendations. Past performance does not guarantee future results. Always do your own due diligence. Full disclaimer